Supplementary Data for the Paper: “Deep Learning for Restoring MPI System Matrices Using Simulated Training Data”

Tsanda, ArtyomArtyomTsandaReiß, SarahSarahReißScheffler, KonradKonradSchefflerBoberg, MarijaMarijaBobergKnopp, TobiasTobiasKnopp2025-12-112025-12-112025-12-11https://hdl.handle.net/11420/59320This dataset provides the materials necessary to reproduce the paper “Deep Learning for Restoring MPI System Matrices Using Simulated Training Data.” It includes the simulation parameters used to generate a dataset of simulated system matrices, the corresponding noise, the trained models, and the real measurements used for validation. The code is available at: github.com/IBIResearch/mpi-sm-restoration.enhttps://creativecommons.org/licenses/by/4.0/Magnetic Particle ImagingSystem Matrix RecoveryMachine LearningImage RestorationComputer Science, Information and General Works::006: Special computer methods::006.3: Artificial IntelligenceSupplementary Data for the Paper: “Deep Learning for Restoring MPI System Matrices Using Simulated Training Data”Datasethttps://doi.org/10.15480/882.1626510.15480/882.16265Knopp, TobiasTobiasKnopp